Jondeau / Poon / Rockinger | Financial Modeling Under Non-Gaussian Distributions | Buch | sack.de

Jondeau / Poon / Rockinger Financial Modeling Under Non-Gaussian Distributions



1. Auflage. Softcover version of original hardcover Auflage 2007, 541 Seiten, Kartoniert, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 838 g Reihe: Springer Finance
ISBN: 978-1-84996-599-6
Verlag: Springer


Jondeau / Poon / Rockinger Financial Modeling Under Non-Gaussian Distributions

This book examines non-Gaussian distributions. It addresses the causes and consequences of non-normality and time dependency in both asset returns and option prices. The book is written for non-mathematicians who want to model financial market prices so the emphasis throughout is on practice. There are abundant empirical illustrations of the models and techniques described, many of which could be equally applied to other financial time series.

Zielgruppe


Professional/practitioner

Weitere Infos & Material


Financial Markets and Financial Time Series.- Statistical Properties of Financial Market Data.- Functioning of Financial Markets and Theoretical Models for Returns.- Econometric Modeling of Asset Returns.- Modeling Volatility.- Modeling Higher Moments.- Modeling Correlation.- Extreme Value Theory.- Applications of Non-Gaussian Econometrics.- Risk Management and VaR.- Portfolio Allocation.- Option Pricing with Non-Gaussian Returns.- Fundamentals of Option Pricing.- Non-structural Option Pricing.- Structural Option Pricing.- Appendices on Option Pricing Mathematics.- Brownian Motion and Stochastic Calculus.- Martingale and Changing Measure.- Characteristic Functions and Fourier Transforms.- Jump Processes.- Lévy Processes.


Jondeau, Eric
Non-Gaussian distributions are the key theme of this book which addresses the causes and consequences of non-normality and time dependency in both asset returns and option prices. The aim is to bridge the gap between theoretical developments and the practical implementations of what many users and researchers perceive as "sophisticated" models. The emphasis throughout is on practice; there are abundant empirical illustrations of the models and techniques described, many of which could be equally applied to other financial time series, such as exchange and interest rates. Real applications are tailored for non-mathematicians who want to model financial market prices. The book is specially designed for course use, with the necessary background mathematics provided in appendices.


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